Traditionally, synthetic imagery has been constructed to simulate images captured with low resolution, nadirviewing
sensors. Advances in sensor design have driven a need to simulate scenes not only at higher resolutions but
also from oblique view angles. The primary efforts of this research include: real image capture, scene construction
and modeling, and validation of the synthetic imagery in the reflective portion of the spectrum. High resolution
imagery was collected of an area named MicroScene at the Rochester Institute of Technology using the Chester F.
Carlson Center for Imaging Science’s MISI and WASP sensors using an oblique view angle. Three Humvees, the
primary targets, were placed in the scene under three different levels of concealment. Following the collection, a
synthetic replica of the scene was constructed and then rendered with the Digital Imaging and Remote Sensing
Image Generation (DIRSIG) model configured to recreate the scene both spatially and spectrally based on actual
sensor characteristics. Finally, a validation of the synthetic imagery against the real images of MicroScene was
accomplished using a combination of qualitative analysis, Gaussian maximum likelihood classification, and the
RX algorithm. The model was updated following each validation using a cyclical development approach. The
purpose of this research is to provide a level of confidence in the synthetic imagery produced by DIRSIG so that
it can be used to train and develop algorithms for real world concealed target detection.

Description:

"High-resolution slant-angle scene generation and validation of concealed targets in DIRSIG," Proceedings of Imaging Spectrometry X, SPIE volume 5546. The International Society of Optical Engineers. Held in Denver, Colorado: August 2004. Copyright 2004 Society of Photo-Optical Instrumentation Engineers. This paper is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.